AI/ML Engineer (Mid-Level) – Computer Vision, NLP & LiDAR Systems

Job Description

Title: AI/ML Engineer (Mid-Level) – Computer Vision, NLP & LiDAR Systems

Company Name: Aus Bangla Jutex Ltd. ( Factory)

Vacancy: 1

Age: Na

Job Location: Anywhere in Bangladesh

Salary: Tk. 50000 - 100000 (Monthly)

Experience: --

Published: 2026-03-26

Application Deadline: 2026-04-25

Education:

Requirements: --

Skills Required:

Additional Requirements:

Responsibilities & Context:

Rankinsoft is an end-to-end technology solutions company delivering AI-driven applications, cloud platforms, and data engineering solutions for startups, SMBs, and enterprises. We specialize in building intelligent systems using machine learning, computer vision, and NLP to solve real-world problems. 

We are seeking a mid-level AI/ML Engineer with strong experience in Computer Vision, NLP, LiDAR/3D data processing, and machine learning. You will design and deploy end-to-end AI systems, from data pipelines and model development to production deployment. 

Core AI/ML Skillsets (Must-Have) 

• Strong understanding of machine learning fundamentals (supervised, unsupervised, semi-supervised learning) 

• Deep knowledge of deep learning architectures (CNNs, RNNs, Transformers) 

• Experience with model training, tuning, and evaluation (cross-validation, hyperparameter tuning, metrics selection) 

• Solid grasp of probability, statistics, and linear algebra 

• Experience with feature engineering and data preprocessing for structured and unstructured data 

• Familiarity with optimization techniques and loss functions 

• Understanding of overfitting, bias-variance tradeoff, and model generalization 

• Experience with model deployment and inference optimization 

• Knowledge of MLOps concepts (model versioning, monitoring, retraining pipelines) 

• Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn) 

Key Responsibilities 

Machine Learning & Data Science 

• Design, develop, and optimize machine learning models 

• Perform data preprocessing, feature engineering, and statistical analysis 

• Work with large-scale structured and unstructured datasets 

Computer Vision 

• Develop models for object detection, segmentation, and image classification 

• Work with frameworks such as OpenCV, PyTorch, TensorFlow, YOLO, Detectron2 

Natural Language Processing (NLP) 

• Build NLP systems including text classification, entity recognition, summarization, and chatbots 

• Work with transformer models (BERT, GPT, etc.) and embedding pipelines 

LiDAR & 3D Data Processing 

• Process and analyze LiDAR and point cloud data 

• Build models for 3D object detection, segmentation, and mapping 

• Use tools such as Open3D, PCL, ROS 

Model Deployment & MLOps 

• Deploy ML models using AWS, Azure, or GCP 

• Build scalable APIs and inference pipelines 

• Use Docker for containerization and basic deployment workflows